Active Media Technology
Springer International Publishing (Verlag)
978-3-319-02749-4 (ISBN)
Ning Zhong is currently head of Knowledge Information Systems Laboratory, and a professor in Department of Systems and Information Engineering, Graduate School, Maebashi Institute of Technology, Japan. He is also CEO of Web Intelligence Laboratory, Inc., a new type of venture intelligent IT business company. Before moving to Maebashi Institute of Technology, he was an associate professor in Department of Computer Science and Systems Engineering, Yamaguchi University, Japan. He is also a guest professor of Beijing University of Technology since 1998. He is the co-founder and co-chair of Web Intelligence Consortium (WIC), vice chair of the executive committee of the IEEE Computer Society Technical Committee on Computational Intelligence (TCCI), the advisory board of ACM SIGART, steering committee of IEEE International Conferences on Data Mining (ICDM), the advisory board of International Rough Set Society, steering committee of Pacific-Asia Conferences on Knowledge Discovery and Data Mining (PAKDD), coordinator and member of advisory board of a Special Interest Group on Granular Computing in Berkeley Initiative in Soft Computing (BISC/SIG-GrC).
Active computer systems.- Interactive systems and application of AMT based systems.- Active media machine learning and data mining techniques.- AMT for semantic web, social networks, and cognitive foundations.- Intelligence for strategic foresight.- Technologies and theories of narrative.- Evolutionary computation and its application.- Intelligent media search techniques.
Erscheint lt. Verlag | 8.10.2013 |
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Reihe/Serie | Information Systems and Applications, incl. Internet/Web, and HCI | Lecture Notes in Computer Science |
Zusatzinfo | XVIII, 434 p. 217 illus. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 678 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Betriebssysteme / Server |
Informatik ► Software Entwicklung ► User Interfaces (HCI) | |
Schlagworte | Genetic algorithms • Human-Computer interaction • information systems • machine learning • Recommender Systems |
ISBN-10 | 3-319-02749-2 / 3319027492 |
ISBN-13 | 978-3-319-02749-4 / 9783319027494 |
Zustand | Neuware |
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